Pages that link to "Item:Q2228590"
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The following pages link to Constructing adaptive generalized polynomial chaos method to measure the uncertainty in continuous models: a computational approach (Q2228590):
Displaying 11 items.
- Improving adaptive generalized polynomial chaos method to solve nonlinear random differential equations by the random variable transformation technique (Q2007357) (← links)
- Computing the density function of complex models with randomness by using polynomial expansions and the RVT technique. Application to the SIR epidemic model (Q2120398) (← links)
- Uncertainty quantification for nonlinear difference equations with dependent random inputs via a stochastic Galerkin projection technique (Q2207345) (← links)
- On the construction of uncertain time series surrogates using polynomial chaos and Gaussian processes (Q2292255) (← links)
- Combining polynomial chaos expansions and the random variable transformation technique to approximate the density function of stochastic problems, including some epidemiological models (Q2333974) (← links)
- Some recommendations for applying gPC (generalized polynomial chaos) to modeling: an analysis through the Airy random differential equation (Q2350122) (← links)
- Computational uncertainty quantification for random non-autonomous second order linear differential equations via adapted gPC: a comparative case study with random Fröbenius method and Monte Carlo simulation (Q2419818) (← links)
- The estimation of functional uncertainty using polynomial chaos and adjoint equations (Q3174281) (← links)
- On the convergence of adaptive gPC for non-linear random difference equations: Theoretical analysis and some practical recommendations (Q5225445) (← links)
- Is It Worthwhile Considering Orthogonality in Generalised Polynomial Chaos Expansions Applied to Solving Stochastic Models? (Q5860615) (← links)
- Uncertainty quantification for the random HIV dynamical model driven by drug adherence (Q6594271) (← links)